Awesome artificial intelligence in cancer diagnostics and oncology

Probabilistic topic model for identifying cellular micro-environments.

An extension to 3D Slicer to support quantitative imaging and image-guided interventions research in prostate cancer.

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

The HTAN Data Portal

Emory BMI GSoC 2020 Project Ideas

Python implementation of topology descriptors which capture subtle sharpness and curvature differences along the surface of diseased pathologies on imaging.

A basic example of image classification with PyTorch, included with instructions on how to re-create results and the performance of the best performing model

Calculate 43 texture features of a 2D or 3D image

The program is used to extract digital medical images and documents of examined patients from the DICOMDIR file and save them in PNG or JPEG format